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DBMS > Databricks vs. Kingbase vs. Kyligence Enterprise vs. RDF4J

System Properties Comparison Databricks vs. Kingbase vs. Kyligence Enterprise vs. RDF4J

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonKingbase  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A distributed analytics engine for big data, built on top of Apache KylinRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.databricks.comwww.kingbase.com.cnkyligence.io/­kyligence-enterpriserdf4j.org
Technical documentationdocs.databricks.comrdf4j.org/­documentation
DeveloperDatabricksBeiJing KINGBASE Information technologies inc.Kyligence, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2013199920162004
Current releaseV8.0, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaJavaJava
Server operating systemshostedLinux
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLStandard with numerous extensionsANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesPython
R
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabricksKingbaseKyligence EnterpriseRDF4J infoformerly known as Sesame
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksKingbaseKyligence EnterpriseRDF4J infoformerly known as Sesame
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